Rule for the calculation of probabilities of hypotheses conditional on observed events.
Statistical inference method where all unknown quantities are modeled by stochastic quantities.
Rule for the calculation of probability densities of continuous parameters in stochastic models conditional on observed data of continuous variables.
Mathematical description of a fuzzy number.
If n copies of a stochastic quantity are observed and all n observations are obtained then the sample is called complete.
Fuzzy Bayesian inference:
The generalization of Bayesian inference to the situation of fuzzy a priori information and fuzzy data.
Fuzzy combined sample:
Combination of a sample of fuzzy numbers to form a fuzzy element of the sample space.
Fuzzy confidence region:
Generalization of the concept of confidence region for the situation of fuzzy data.
Data which are not precise numbers or classical vectors.
Generalized statistical estimation technique for the situation of fuzzy data.
A generalized histogram based on fuzzy data.
Generalization of highest probability density regions for parameters in Bayesian inference.
Information which is not given in the form of precise numbers, precise vectors, precise functions or precisely defined models.
Mathematical description of a fuzzy one-dimensional ...